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Research and Simulation of Flood Forecasting Model in Coastal Plain Area Based on Antecedent Precipitation Index Algorithm

机译:基于先令降水指数算法的沿海平原地区洪水预测模型研究与仿真

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This paper presents a simulation model for flood warning and sluice dispatch in complex coastal plain water area. We propose an improved "semi-diurnal water production" Antecedent Precipitation Index (API) algorithm for computational modeling and simulation. By analyzing a large number of historical flood data and applying multiple curve fitting method, the quantitative function curve of the rainfall rainfall, runoff, and pre-rainfall index was established. The comparison between simulation data and historical data shows that the experimental results have high reliability, can effectively predict and warn the flood flow, and provide important data reference for the sluice scheduling in the area.
机译:本文介绍了复杂沿海普通水域洪水警告和闸门调度的仿真模型。我们提出了一种改进的“半昼夜水产”前消化降水指数(API)算法,用于计算建模和仿真。通过分析大量历史洪水数据并应用多条曲线拟合方法,建立了降雨降雨,径流和降雨预降量指数的定量函数曲线。仿真数据和历史数据之间的比较表明,实验结果具有高可靠性,可以有效地预测和警告洪水流,并为该地区的闸门调度提供重要的数据参考。

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